Senior Solutions Architect: Enterprise Data & AI Strategy

Databricks; Atlanta (GA); On-site; USD 219,000 - 301,000; Full time

Job summary

Databricks seeks a Sr. Solutions Architect (L6) to lead the most strategic customer engagements, influencing platform adoption and revenue growth across multiple workloads and migrations.

You will own senior technical relationships, mentor junior SAs, and shape enterprise data and AI strategies. You will collaborate with cross-functional teams to deliver enterprise-grade solutions, drive competitive positioning, and contribute to field engineering thought leadership through workshops and content

Qualifications

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
• Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark.
• Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
• Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability).
• Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
• Proven track record of driving consumption growth and platform adoption in large accounts.
• Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy.
• Experience leading competitive displacements and complex enterprise evaluations.
• Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact.
• Bachelor's or Master’s degree in Computer Science, Engineering, or a quantitative discipline.

Responsibilities

• Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.
• Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy.
• Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale.
• Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team.
• Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms.
• Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions.
• Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization.
• Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement.

Skills

Python

SQL

Spark/PySpark

Education

Bachelor's or Master’s in Computer Science, Engineering, or quantitative discipline

Job description

Databricks seeks a Sr. Solutions Architect (L6) to lead the most strategic customer engagements, influencing platform adoption and revenue growth across multiple workloads and migrations.

You will own senior technical relationships, mentor junior SAs, and shape enterprise data and AI strategies. You will collaborate with cross-functional teams to deliver enterprise-grade solutions, drive competitive positioning, and contribute to field engineering thought leadership through workshops and content